Abstract: This paper presents the results of an attempt to automate part of a formalized method of system design. Basic to this method are two languages, Boolean algebra and a register transfer ...
Abstract: This paper presents a study on the radiation effects on a Fractional-N sub-sampling all-digital phase-locked loop (frac-N SS-ADPLL) and the associated hardening techniques implemented in a ...
More than half of U.S. federal judges — 60% — are using at least one AI tool in their judicial work, according to a new study ...
Large Language Models (LLMs) are typically evaluated for safety under single-shot or low-budget adversarial prompting, which underestimates real-world risk. In practice, attackers can exploit ...
Time-Annealed Perturbation Sampling (TAPS) is an inference-time method for improving diversity in diffusion language models without sacrificing generation quality. This repository contains the ...
By using AI to analyze more than 400,000 Reddit posts, Penn researchers have identified patient-reported symptoms associated with GLP-1s, the popular weight-loss and diabetes drugs semaglutide and ...
A new Northwestern study surveying federal judges across the U.S. on their use and outlook on artificial intelligence in and ...
Standard LLM safety evaluations use single-shot (ASR@1) metrics, but real attackers can exploit parallel sampling to repeatedly probe models. SABER provides a principled statistical framework to: ...
The annual show for the embedded electronics supply chain showcased many innovations in edge AI and connected, intelligent systems that can perceive and act in real time.
In a new survey led by Professors Daniel Linna and V.S. Subrahmanian, more than half of responding judges report using at ...
Intel teams up everywhere; GPU rowhammer attack; fast verification; Taiwan IC industry wants stockpiles; China poaches Taiwan ...
There has been a lot of talk around building context for AI systems. In consumer software, we have seen startups being built around search, documents, and meetings. All of them want to capture context ...
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